A Non-Stationary Panel Data Investigation of the Unemployment–Crime Relationship
(2014) In Social Science Research 44. p.114-125- Abstract
- Many empirical studies of the economics of crime focus solely on the determinants thereof, and do not consider the dynamic and cross-sectional properties of their data. As a response to this, the current paper offers an in-depth analysis of this issue using data covering 21 Swedish counties from 1975 to 2010. The results suggest that the crimes considered are non-stationary, and that this cannot be attributed to county-specific disparities alone, but that there are also a small number of common stochastic trends to which groups of counties tend to revert. In an attempt to explain these common stochastic trends, we look for a long-run cointegrated relationship between unemployment and crime. Overall, the results do not support... (More)
- Many empirical studies of the economics of crime focus solely on the determinants thereof, and do not consider the dynamic and cross-sectional properties of their data. As a response to this, the current paper offers an in-depth analysis of this issue using data covering 21 Swedish counties from 1975 to 2010. The results suggest that the crimes considered are non-stationary, and that this cannot be attributed to county-specific disparities alone, but that there are also a small number of common stochastic trends to which groups of counties tend to revert. In an attempt to explain these common stochastic trends, we look for a long-run cointegrated relationship between unemployment and crime. Overall, the results do not support cointegration, and suggest that previous findings of a significant unemployment–crime relationship might be spurious. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/4192081
- author
- Blomquist, Johan LU and Westerlund, Joakim LU
- organization
- publishing date
- 2014
- type
- Contribution to journal
- publication status
- published
- subject
- in
- Social Science Research
- volume
- 44
- pages
- 114 - 125
- publisher
- Elsevier
- external identifiers
-
- wos:000331007000009
- scopus:84890813558
- pmid:24468438
- ISSN
- 0049-089X
- DOI
- 10.1016/j.ssresearch.2013.11.007
- language
- English
- LU publication?
- yes
- id
- b3963d8b-6f20-43aa-b070-c34fe24f213c (old id 4192081)
- date added to LUP
- 2016-04-01 10:08:04
- date last changed
- 2022-01-25 20:02:59
@article{b3963d8b-6f20-43aa-b070-c34fe24f213c,
abstract = {{Many empirical studies of the economics of crime focus solely on the determinants thereof, and do not consider the dynamic and cross-sectional properties of their data. As a response to this, the current paper offers an in-depth analysis of this issue using data covering 21 Swedish counties from 1975 to 2010. The results suggest that the crimes considered are non-stationary, and that this cannot be attributed to county-specific disparities alone, but that there are also a small number of common stochastic trends to which groups of counties tend to revert. In an attempt to explain these common stochastic trends, we look for a long-run cointegrated relationship between unemployment and crime. Overall, the results do not support cointegration, and suggest that previous findings of a significant unemployment–crime relationship might be spurious.}},
author = {{Blomquist, Johan and Westerlund, Joakim}},
issn = {{0049-089X}},
language = {{eng}},
pages = {{114--125}},
publisher = {{Elsevier}},
series = {{Social Science Research}},
title = {{A Non-Stationary Panel Data Investigation of the Unemployment–Crime Relationship}},
url = {{http://dx.doi.org/10.1016/j.ssresearch.2013.11.007}},
doi = {{10.1016/j.ssresearch.2013.11.007}},
volume = {{44}},
year = {{2014}},
}